Potential of Near-Infrared Spectroscopy for the Determination of Olive Oil Quality

被引:28
|
作者
Garcia Martin, Juan Francisco [1 ,2 ]
机构
[1] Univ Seville, Fac Quim, Dept Ingn Quim, Seville 41012, Spain
[2] Univ Jaen, Univ Inst Res Olive Groves & Olive Oils, GEOLIT Sci & Technol Pk, Mengibar 23620, Spain
基金
西班牙国家研究理事会;
关键词
chemometrics; olive oil; near-infrared spectroscopy; quality parameters; UNINFORMATIVE VARIABLE ELIMINATION; FATTY-ACID ANALYSIS; MULTIVARIATE CALIBRATION; RAPID-DETERMINATION; NIR; SELECTION; ADULTERATION; REGRESSION; PARAMETERS; CHLOROPHYLLS;
D O I
10.3390/s22082831
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The analysis of the physico-chemical parameters of quality of olive oil is still carried out in laboratories using chemicals and generating waste, which is relatively costly and time-consuming. Among the various alternatives for the online or on-site measurement of these parameters, the available literature highlights the use of near-infrared spectroscopy (NIRS). This article intends to comprehensively review the state-of-the-art research and the actual potential of NIRS for the analysis of olive oil. A description of the features of the infrared spectrum of olive oil and a quick explanation of the fundamentals of NIRS and chemometrics are also included. From the results available in the literature, it can be concluded that the four most usual physico-chemical parameters that define the quality of olive oils, namely free acidity, peroxide value, K232, and K270, can be measured by NIRS with high precision. In addition, NIRS is suitable for the nutritional labeling of olive oil because of its great performance in predicting the contents in total fat, total saturated fatty acids, monounsaturated fatty acids, and polyunsaturated fatty acids in olive oils. Other parameters of interest have the potential to be analyzed by NIRS, but the improvement of the mathematical models for their determination is required, since the errors of prediction reported so far are a bit high for practical application.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Oil Quality Prediction in Olive Oil by Near-Infrared Spectroscopy: Applications in Olive Breeding
    Yilmaz-Duzyaman, Hande
    de la Rosa, Raul
    Velasco, Leonardo
    Nunez-Sanchez, Nieves
    Leon, Lorenzo
    AGRICULTURE-BASEL, 2024, 14 (05):
  • [2] The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics
    Christy, AA
    Kasemsumran, S
    Du, YP
    Ozaki, Y
    ANALYTICAL SCIENCES, 2004, 20 (06) : 935 - 940
  • [3] The Detection and Quantification of Adulteration in Olive Oil by Near-Infrared Spectroscopy and Chemometrics
    Alfred A. Christy
    Sumaporn Kasemsumran
    Yiping Du
    Yukihiro Ozaki
    Analytical Sciences, 2004, 20 : 935 - 940
  • [4] Potential of near-infrared spectroscopy in quality evaluation of seafood
    Kimiya, Takashi
    NIPPON SUISAN GAKKAISHI, 2022, 88 (05) : 412 - 412
  • [5] Quality Analysis of Olive Oil and Quantification Detection of Adulteration in Olive Oil by Near-Infrared Spectrometry and Chemometrics
    Zhuang Xiao-li
    Xiang Yu-hong
    Qiang Hong
    Zhang Zhuo-yong
    Zou Ming-qiang
    Zhang Xiao-fang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30 (04) : 933 - 936
  • [6] In Situ Determination of Cannabidiol in Hemp Oil by Near-Infrared Spectroscopy
    Chen, Zewei
    Harrington, Peter de Boves
    Griffin, Veronica
    Griffin, Todd
    JOURNAL OF NATURAL PRODUCTS, 2021, 84 (11): : 2851 - 2857
  • [7] Cannabidiol oil quality control with near-infrared spectroscopy.
    Ghosh, Supratim
    Hopkins, Adam
    Hagemann, Elena
    Agerer, Andreas
    JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, 2021, 98 : 75 - 76
  • [8] Determination of oil and moisture in two-phases olive-pomace by using near-infrared spectroscopy.
    Mesa, JAG
    Fernandez, MH
    Alonso, PC
    GRASAS Y ACEITES, 1996, 47 (05) : 317 - 322
  • [9] Near-Infrared Spatially Resolved Spectroscopy for Tablet Quality Determination
    Igne, Benoit
    Talwar, Sameer
    Feng, Hanzhou
    Drennen, James K.
    Anderson, Carl A.
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2015, 104 (12) : 4074 - 4081
  • [10] Determination of forage quality by near-infrared reflectance spectroscopy in soybean
    Asekova, Sovetgul
    Han, Sang-Ik
    Choi, Hong-Jib
    Park, Sang-Jo
    Shin, Dong-Hyun
    Kwon, Chan-Ho
    Shannon, J. Grover
    Lee, Jeong-Dong
    TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 2016, 40 (01) : 45 - 52